Core Viewpoint - The article discusses the launch of the "2026 Medical and Health Sustainable Innovation Case Recommendation List," emphasizing the integration of artificial intelligence in the healthcare industry to promote sustainable development [2]. Group 1: Categories of Case Collection - The recommendation list includes four categories: "International Innovation Localization," "Local Innovation Globalization," "ESG Innovation Practice," and a new category "Healthcare + AI Innovation" to address the transformative impact of AI on the healthcare sector [2][3]. Group 2: International Innovation Localization - This category focuses on local research and intellectual property accumulation, compliance systems, local manufacturing and supply chain integration, local organizational and talent development, and contributions to the Chinese healthcare system [3]. Group 3: Local Innovation Globalization - This category evaluates product innovation capabilities, clarity of international market entry paths, overseas collaboration networks, international team operations, and measurable international impact [4]. Group 4: ESG Innovation Practice - This category assesses the systematic nature of ESG strategies and governance structures, quantifiable environmental responsibilities, social responsibilities, employee development, and supply chain ESG management [5]. Group 5: Healthcare + AI Innovation - This category emphasizes real-world applications addressing industry pain points, sustainable business models, digital capabilities, compliance and security governance, technology maturity, and long-term potential [6]. Group 6: Evaluation Process - A nomination committee composed of 20 senior professionals from the healthcare sector will ensure an objective evaluation process, involving case reviews, online interviews, and comprehensive assessments [8]. Group 7: Timeline for Case Collection and Evaluation - The timeline for the case collection and evaluation includes: - January to March 2026: Case collection through self-nomination or committee nomination - April to May 2026: Initial screening and interviews - June 2026: Comprehensive evaluation by the nomination committee - July 2026: Official release of the list at the Shanghai World Artificial Intelligence Conference [15].

Core Viewpoint - The "2026 Medical and Health Sustainable Innovation Case Recommendation List" aims to promote sustainable development in the healthcare industry through the integration of artificial intelligence and healthcare, with a focus on technological innovation [1]. Group 1: Categories of Case Collection - The case collection includes four categories: 1. **International Innovation Localization**: Focuses on local production of innovative products, investment in local enterprises, and localization of marketing and services [2]. 2. **Local Innovation Globalization**: Emphasizes product innovation and quality assurance, establishing localized networks overseas, and enhancing brand visibility in international markets [2]. 3. **ESG Innovation Practice**: Involves sustainable market strategies, community services, and a sustainable supply chain [2]. 4. **Healthcare + AI Innovation**: Aims to address industry pain points, improve diagnostic efficiency, and ensure data security while promoting healthcare accessibility [2]. Group 2: Evaluation Committee - The evaluation committee consists of 20 senior professionals from both domestic and foreign healthcare sectors, including executives, policymakers, and experts from investment institutions [4]. Group 3: Timeline for Case Collection and Evaluation - The timeline for the case collection and evaluation process is as follows: - **January to March 2026**: Case collection through self-nomination or committee nomination [9]. - **April to May 2026**: Initial screening and online interviews with shortlisted companies [9]. - **June 2026**: Comprehensive evaluation by the nomination committee [9]. - **July 2026**: Official release of the list at the "AI + Healthcare Industry Sustainable Innovation Forum" during the Shanghai World Artificial Intelligence Conference [9].